code: def stringify_values(array: NDArray[Any]) -> NDArray[Any]:
      result = np.copy(array)
  
      with np.nditer(
          result, flags=["refs_ok"], op_flags=[["readwrite"]]
      ) as it:
          for obj in it:
              if na_obj := pd.isna(obj):
                  # pandas <NA> type cannot be converted to string
                  obj[na_obj] = None
              else:
                  try:
                      # for simple string conversions
                      # this handles odd character types better
                      obj[...] = obj.astype(str)
                  except ValueError:
                      obj[...] = stringify(obj)
  
      return result
  
imports: import datetime
  import json
  import logging
  from typing import Any, Optional
  import numpy
  import pandas
  import pyarrow
  from numpy.typing import NDArray
  from superset.db_engine_specs import BaseEngineSpec
  from superset.superset_typing import DbapiDescription, DbapiResult, ResultSetColumnType
  from superset.utils import core
  from superset.utils.core import GenericDataType
label_desc: Use image node_id 3 for calling a global function with example usage: stringify_values(array) and returns: result